Design Thinking: a Bias-Reduction Strategy for Organizational Innovation

Total Page:16

File Type:pdf, Size:1020Kb

Design Thinking: a Bias-Reduction Strategy for Organizational Innovation Design Thinking: A Bias-Reduction Strategy for Organizational Innovation Cognitive biases are unconscious assumptions that our mind uses to process the constant flow of information it receives, and can influence decision-making without us realizing it. Design Thinking allows companies to systematically focus on what matters most – improving the fundamental operations that lead to success. This paper talks about how cognitive biases affect business decisions and how Design Thinking can help overcome these biases for better, smarter decisions. Table of Contents Abstract ..................................................................................................................................... 3 Introduction ............................................................................................................................ 4 Defining Cognitive Bias................................................................................................... 5 Design Thinking and How It Works ......................................................................... 6 Disarming the Effect of Cognitive Bias ...................................................................7 • Confirmation Bias ...................................................................................................... 8 • IKEA Effect ..................................................................................................................... 9 • Anchoring Bias ...........................................................................................................10 • Availability Heuristic ................................................................................................11 • Attribution Bias ..........................................................................................................12 • Functional Fixedness ..............................................................................................13 • Framing Bias ...............................................................................................................14 Conclusion ..............................................................................................................................15 Authors Profile .....................................................................................................................16 2 < Back Abstract Cognitive biases affect nearly every choice we make. In the business world, we need to solve problems almost every hour, and these must be made without delay. No matter the industry, most organizations will eventually face a crisis – maybe new competitors will appear out of nowhere, or an existing brand will carve out a slice out of your customer base. To thrive in such an environment requires innovative solutions, and the solutions we make have broad, far-reaching consequences, which means that our ideas must remain rational, objective and free from potentially harmful cognitive biases. It’s easy to lose sight of the goal when solving problems that are based on emotional responses or incomplete information. So, is there a magic bullet that can help overcome biases and increase reliability of our problem- solving endeavor? As it turns out, there is no magic formula, but a creative problem- solving approach called Design Thinking that drives effective innovation endeavors. This paper explains how cognitive biases impede business growth and innovation, and how Design Thinking helps overcome this challenge by turning our attention to a number of business activities like sourcing inputs, managing customer relationships, developing effective digital interventions, and promoting better, more thoughtful, long-range strategies. 3 < Back Introduction We like to think that we’re rational problem solvers and decision makers. But in reality, the human mind organizes the information from the external environment into patterns where it prefers to derive judgement and solutions through use of mental shortcuts or Cognitive Biases. As problem solving is a complex cognitive process, our brains choose these shortcuts over rational thinking. Naturally then, when it comes to business decisions these biases negatively influence our or the organization’s capability to capture and utilize new ideas. Even at the workplace, we tend to act in irrational and unexpected ways when it comes to business decisions. This is because our thoughts are influenced by cognitive errors resulting from incomplete information, or the inability to analyze the information that is available without being affected by beliefs or mental conflicts. 4 < Back Defining Cognitive Bias While processing information, the self-organizing nature of mind often deploys mental shortcuts or heuristics which can lead us astray in our problem solving and creative endeavors. Essentially, cognitive biases are a slip in our thought process that is usually a result of the way mind uses shortcuts to organize information. Though this makes our everyday lives easier by constructing patterns that govern our thought and action, it also leads to cognitive errors in the way people process and analyze information, which can lead them to think irrationally and this can negatively impact business problem-solving and innovation. The main problem with cognitive biases is that they are not based on rational, systematic thinking. They are based on assumptions and stereotyping. And since they are unconscious and automatic, they can be difficult to identify and control. Let’s understand how a Design Thinking approach can help us better initiate effective and creative problem solving. 5 < Back Design Thinking and How It Works Design Thinking counters cognitive human biases that stifle creativity while addressing the challenges typically faced in creating world-class solutions. It requires seeing the organization as a collection of people motivated by different feelings and perspectives and emotions, and also includes customers and other stakeholders in problem definition and solution design. The best part is that Design Thinking gives a fluid, non-restrictive structure to the innovation process, encourages collaboration and focuses energies on the outcome. The main reason why Design Thinking works is that instead of asking for that one great idea or winning strategy, it asks people to come up with multiple ideas. This will prevent a person getting attached to any single idea and to avoid cognitive bias. The history of the business world is rich with tales of CEOs getting stuck to their idea, exaggerating the benefits, becoming passionate about the solution, looked for confirmations to support their idea and eventually failing. As we get attached to a single idea, biases set in blocking our ability to pay attention to other factors resulting in an unbalanced thinking. Any disagreements are then viewed as a personal affront and could impact the future cooperation of the team. Such as environment stifles innovation and open sharing of ideas, which obviously will impact the business in the long run. Design Thinking takes a multi-pronged approach to any situation. It views things from the customer’s perspective instead of being self- serving. It also encourages the thought that ideas, and not people, need to compete by asking for multiple ideas and solutions. This means building a multi-disciplinary team that supports a healthy exchange of ideas and knowledge. 6 < Back Disarming the Effect of Cognitive Bias The first step to overcoming cognitive biases is to admit their existence and accept that we have them. If we are familiar with our biases, we stand a better chance of noticing them as they come into play and avoid letting our decisions be influenced by then. The following section shows how Design Thinking helps in overcoming some of the important biases. Confirmation IKEA Anchoring bias Effect Bias Availability Attribution Functional Heuristic Bias Fixedness Framing Bias 7 < Back Confirmation Bias Confirmation bias is our tendency to fixate on any new information that confirms our pre-existing beliefs and ignore any data that could challenge these ideas. When we become attached to our beliefs, we tend to look for information that further validates them, simply because it’s easier to confirm that we’re right than it is to even think of another perspective. IT use case An organization wants to rethink its governance model to improve its stakeholder alignment. The project manager in charge of this project believes that timely reports will lead to better stakeholder alignment and hence, while analyzing causes of the issue, he may only look at the instances where problems occurred due to not receiving reports on time and focus the solution on how timely reports can be shared with relevant stakeholders. How can Design Thinking help change this? In Design Thinking, we start interacting with users to understand where the problem lies. In this case, by understanding the stakeholder universe and by conducting an empathy interview with each stakeholder group, the project team can better define the unmet needs of governance. They may uncover that the real problem is that the stakeholders feel a lack of connect due to inadequate face to face interactions. In addition to this, roles and responsibilities have not been defined well. Defining the problem holistically provides a strong foundation to transform the experience. This, when supported by ideation techniques like challenge assumptions, helps break a preconceived pattern of thinking while solving the problem which leads to a more holistic
Recommended publications
  • A Task-Based Taxonomy of Cognitive Biases for Information Visualization
    A Task-based Taxonomy of Cognitive Biases for Information Visualization Evanthia Dimara, Steven Franconeri, Catherine Plaisant, Anastasia Bezerianos, and Pierre Dragicevic Three kinds of limitations The Computer The Display 2 Three kinds of limitations The Computer The Display The Human 3 Three kinds of limitations: humans • Human vision ️ has limitations • Human reasoning 易 has limitations The Human 4 ️Perceptual bias Magnitude estimation 5 ️Perceptual bias Magnitude estimation Color perception 6 易 Cognitive bias Behaviors when humans consistently behave irrationally Pohl’s criteria distilled: • Are predictable and consistent • People are unaware they’re doing them • Are not misunderstandings 7 Ambiguity effect, Anchoring or focalism, Anthropocentric thinking, Anthropomorphism or personification, Attentional bias, Attribute substitution, Automation bias, Availability heuristic, Availability cascade, Backfire effect, Bandwagon effect, Base rate fallacy or Base rate neglect, Belief bias, Ben Franklin effect, Berkson's paradox, Bias blind spot, Choice-supportive bias, Clustering illusion, Compassion fade, Confirmation bias, Congruence bias, Conjunction fallacy, Conservatism (belief revision), Continued influence effect, Contrast effect, Courtesy bias, Curse of knowledge, Declinism, Decoy effect, Default effect, Denomination effect, Disposition effect, Distinction bias, Dread aversion, Dunning–Kruger effect, Duration neglect, Empathy gap, End-of-history illusion, Endowment effect, Exaggerated expectation, Experimenter's or expectation bias,
    [Show full text]
  • Ilidigital Master Anton 2.Indd
    services are developed to be used by humans. Thus, understanding humans understanding Thus, humans. by used be to developed are services obvious than others but certainly not less complex. Most products bioengineering, and as shown in this magazine. Psychology mightbusiness world. beBe it more the comparison to relationships, game elements, or There are many non-business flieds which can betransfered to the COGNTIVE COGNTIVE is key to a succesfully develop a product orservice. is keytoasuccesfullydevelopproduct BIASES by ANTON KOGER The Power of Power The //PsychologistatILI.DIGITAL WE EDIT AND REINFORCE SOME WE DISCARD SPECIFICS TO WE REDUCE EVENTS AND LISTS WE STORE MEMORY DIFFERENTLY BASED WE NOTICE THINGS ALREADY PRIMED BIZARRE, FUNNY, OR VISUALLY WE NOTICE WHEN WE ARE DRAWN TO DETAILS THAT WE NOTICE FLAWS IN OTHERS WE FAVOR SIMPLE-LOOKING OPTIONS MEMORIES AFTER THE FACT FORM GENERALITIES TO THEIR KEY ELEMENTS ON HOW THEY WERE EXPERIENCED IN MEMORY OR REPEATED OFTEN STRIKING THINGS STICK OUT MORE SOMETHING HAS CHANGED CONFIRM OUR OWN EXISTING BELIEFS MORE EASILY THAN IN OURSELVES AND COMPLETE INFORMATION way we see situations but also the way we situationsbutalsotheway wesee way the biasesnotonlychange Furthermore, overload. cognitive avoid attention, ore situations, guide help todesign massively can This in. take people information of kind explainhowandwhat ofperception egory First,biasesinthecat andappraisal. ory, self,mem perception, into fourcategories: roughly bedivided Cognitive biasescan within thesesituations. forusers interaction andeasy in anatural situationswhichresults sible toimprove itpos and adaptingtothesebiasesmakes ingiven situations.Reacting ways certain act sively helpstounderstandwhypeople mas into consideration biases ing cognitive Tak humanbehavior. topredict likely less or andmore relevant illusionsare cognitive In each situation different every havior day.
    [Show full text]
  • Cognitive Biases in Software Engineering: a Systematic Mapping Study
    Cognitive Biases in Software Engineering: A Systematic Mapping Study Rahul Mohanani, Iflaah Salman, Burak Turhan, Member, IEEE, Pilar Rodriguez and Paul Ralph Abstract—One source of software project challenges and failures is the systematic errors introduced by human cognitive biases. Although extensively explored in cognitive psychology, investigations concerning cognitive biases have only recently gained popularity in software engineering research. This paper therefore systematically maps, aggregates and synthesizes the literature on cognitive biases in software engineering to generate a comprehensive body of knowledge, understand state of the art research and provide guidelines for future research and practise. Focusing on bias antecedents, effects and mitigation techniques, we identified 65 articles (published between 1990 and 2016), which investigate 37 cognitive biases. Despite strong and increasing interest, the results reveal a scarcity of research on mitigation techniques and poor theoretical foundations in understanding and interpreting cognitive biases. Although bias-related research has generated many new insights in the software engineering community, specific bias mitigation techniques are still needed for software professionals to overcome the deleterious effects of cognitive biases on their work. Index Terms—Antecedents of cognitive bias. cognitive bias. debiasing, effects of cognitive bias. software engineering, systematic mapping. 1 INTRODUCTION OGNITIVE biases are systematic deviations from op- knowledge. No analogous review of SE research exists. The timal reasoning [1], [2]. In other words, they are re- purpose of this study is therefore as follows: curring errors in thinking, or patterns of bad judgment Purpose: to review, summarize and synthesize the current observable in different people and contexts. A well-known state of software engineering research involving cognitive example is confirmation bias—the tendency to pay more at- biases.
    [Show full text]
  • Infographic I.10
    The Digital Health Revolution: Leaving No One Behind The global AI in healthcare market is growing fast, with an expected increase from $4.9 billion in 2020 to $45.2 billion by 2026. There are new solutions introduced every day that address all areas: from clinical care and diagnosis, to remote patient monitoring to EHR support, and beyond. But, AI is still relatively new to the industry, and it can be difficult to determine which solutions can actually make a difference in care delivery and business operations. 59 Jan 2021 % of Americans believe returning Jan-June 2019 to pre-coronavirus life poses a risk to health and well being. 11 41 % % ...expect it will take at least 6 The pandemic has greatly increased the 65 months before things get number of US adults reporting depression % back to normal (updated April and/or anxiety.5 2021).4 Up to of consumers now interested in telehealth going forward. $250B 76 57% of providers view telehealth more of current US healthcare spend % favorably than they did before COVID-19.7 could potentially be virtualized.6 The dramatic increase in of Medicare primary care visits the conducted through 90% $3.5T telehealth has shown longevity, with rates in annual U.S. health expenditures are for people with chronic and mental health conditions. since April 2020 0.1 43.5 leveling off % % Most of these can be prevented by simple around 30%.8 lifestyle changes and regular health screenings9 Feb. 2020 Apr. 2020 OCCAM’S RAZOR • CONJUNCTION FALLACY • DELMORE EFFECT • LAW OF TRIVIALITY • COGNITIVE FLUENCY • BELIEF BIAS • INFORMATION BIAS Digital health ecosystems are transforming• AMBIGUITY BIAS • STATUS medicineQUO BIAS • SOCIAL COMPARISONfrom BIASa rea• DECOYctive EFFECT • REACTANCEdiscipline, • REVERSE PSYCHOLOGY • SYSTEM JUSTIFICATION • BACKFIRE EFFECT • ENDOWMENT EFFECT • PROCESSING DIFFICULTY EFFECT • PSEUDOCERTAINTY EFFECT • DISPOSITION becoming precise, preventive,EFFECT • ZERO-RISK personalized, BIAS • UNIT BIAS • IKEA EFFECT and • LOSS AVERSION participatory.
    [Show full text]
  • Better Than Our Biases: Using Psychological Research to Inform Our Approach to Inclusive, Effective Feedback
    \\jciprod01\productn\N\NYC\27-2\NYC204.txt unknown Seq: 1 23-MAR-21 14:03 BETTER THAN OUR BIASES: USING PSYCHOLOGICAL RESEARCH TO INFORM OUR APPROACH TO INCLUSIVE, EFFECTIVE FEEDBACK ANNE D. GORDON* ABSTRACT As teaching faculty, we are obligated to create an inclusive learning environment for all students. When we fail to be thoughtful about our own bias, our teaching suffers – and students from under-repre- sented backgrounds are left behind. This paper draws on legal, peda- gogical, and psychological research to create a practical guide for clinical teaching faculty in understanding, examining, and mitigating our own biases, so that we may better teach and support our students. First, I discuss two kinds of bias that interfere with our decision-mak- ing and behavior: cognitive biases (such as confirmation bias, pri- macy and recency effects, and the halo effect) and implicit biases (stereotype and attitude-based), that arise from living in our culture. Second, I explain how our biases negatively affect our students: both through the stereotype threat that students experience when interact- ing with biased teachers, and by our own failure to evaluate and give feedback appropriately, which in turn interferes with our students’ learning and future opportunities. The final section of this paper de- tails practical steps for reducing our bias, including engaging in long- term debiasing, reducing the conditions that make us prone to bias (such as times of cognitive fatigue), and adopting processes that will keep us from falling back on our biases, (such as the use of rubrics). Acknowledging and mitigating our biases is possible, but we must make a concerted effort to do so in order to live up to our obligations to our students and our profession.
    [Show full text]
  • Bolstering and Restoring Feelings of Competence Via the IKEA Effect
    Bolstering and Restoring Feelings of Competence via the IKEA Effect The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Mochon, Daniel, Michael I. Norton, and Dan Ariely. "Bolstering and Restoring Feelings of Competence via the IKEA Effect." International Journal of Research in Marketing 29, no. 4 (December 2012): 363– 369. Published Version http://dx.doi.org/10.1016/j.ijresmar.2012.05.001 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:11320608 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#OAP Competence and the IKEA Effect 1 Bolstering and Restoring Feelings of Competence via the IKEA Effect Daniel Mochon a* Michael I. Norton b Dan Ariely c a Freeman School of Business, Tulane University, 7 McAlister Drive, New Orleans, LA, 70118 b Harvard Business School, Soldiers Field Road, Boston, MA, 02163 c Duke University, 1 Towerview Drive, Durham, NC, 27708 *Corresponding Author Tel: +1-504-862-8067 Email: [email protected] Competence and the IKEA Effect 2 Abstract We examine the underlying process behind the IKEA effect – people’s willingness to pay more for self-made products than for identical ones made by others – and the factors that influence both people’s willingness to engage in self-assembly and the utility they derive from such activities. We propose that assembling products fulfills a core psychological need – consumers’ desire to signal to themselves and others that they are competent – and that the feelings of competence associated with self-made products lead to the products’ increased valuation.
    [Show full text]
  • Unleashing Greatness in Teachers
    @informed_edu @TeacherDevTrust Conversation for Communication in Change David Weston, 15th November, 2018 Manchester Change is hard Sunk cost bias – IKEA effect But we worked hard on that… Dunning Kruger effect I’ve read a book Confirmation Bias I’ve seen this before, or I’m even more sure about what I already thought 2 Change is hard Halo Effect - ‘Tribal bias’ More likely to believe things from your context & peers, less likely otherwise. Fundamental attribution error It’s not my mental failing, it’s your character defect 3 4 Which biases have you noticed? Sunk Cost or IKEA effect – valuing what you work hard on Dunning-Kruger – the illusion of being knowledgeable based on excitement and novelty Confirmation bias – selective listening and interpreting to reinforce existing beliefs Halo Effect (tribal bias) – valuing ideas from people you like (and disliking ideas from those you don’t) Fundamental Attribution Error –assuming bad character of others during disagreement or conflict. 5 Change 6 Change Management https://scienceforwork.com/blog/change-management-psychology/ Discrepancy describes the perceived necessity for a change (e. g. dissatisfaction with the status-quo). Appropriateness is the conviction that a chosen change is suitable to address and dissolve a given discrepancy. Efficacy is the belief that both the individual change recipient and the organization are able to successfully implement a change. Principal support is the conviction that managers are committed to the change and will act as change agents.
    [Show full text]
  • The IKEA Effect in Restaurants
    The IKEA Effect in Restaurants Testing Do-It-Yourself Effects in Restaurant Meals MASTER THESIS THESIS WITHIN: Business Administration NUMBER OF CREDITS: 15 credits PROGRAMME OF STUDY: International Marketing AUTHORS: Niklas Bergmann & Dario Turelli JÖNKÖPING May 2018 Master Thesis in Business Administration Title: The IKEA Effect in Restaurants: Testing Do-It-Yourself Effects in Restaurant Meals Authors: Niklas Bergmann & Dario Turelli Tutor: Sarah Wikner Date: 2018-05-16 Key terms: IKEA effect, Do-it-yourself, Co-Creation, Perceived value, Liking of Food Acknowledgment Conducting an experiment had proven to be quite challenging. Therefore, we want to express our gratitude and appreciation to the people who supported us during this process. In particular, we want to acknowledge the dedication and assistance of Markus Högel and Benedikt Schneller during the preparation and execution of the experiment. Abstract Background: According to IKEA effect, defined by Norton et al. (2012), participation in the production of a product results in an increased product appreciation and willingness to pay. Even though Dohle et al. (2014) confirmed this effect within food preparation, a research gap for restaurants is existing. Due to the high economical relevance of the restaurant industry, generating insights for a more prosperous dining experience for both restaurants and their consumers is valuable. Purpose: The purpose of this study was to determine whether the IKEA effect occurs and influences the customer satisfaction when dining in a restaurant. Therefore, this study aimed to validate the causal relationship of do-it-yourself meals on liking of the food, willingness to pay and total restaurant experience. Method: For this study, a Posttest-Only Control Group Design experiment has been conducted.
    [Show full text]
  • Behavioral Economics: a Primer and Applications to the UN Sustainable Development Goal of Good Health and Well-Being
    Review Behavioral Economics: A Primer and Applications to the UN Sustainable Development Goal of Good Health and Well-Being Robert Siegel 1,2,* , Katelyn Gordon 1 and Linda Dynan 1,3 1 The Heart Institute, Department of Pediatrics, and James M. Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital, Cincinnati, OH 45229, USA; [email protected] (K.G.); [email protected] (L.D.) 2 Department of Pediatics, College of Medicine, University of Cincinnati, Cincinnati, OH 45229, USA 3 Department of Economics, Haile College of Business, Northern Kentucky University, Highland Heights, KY 41099, USA * Correspondence: [email protected] Abstract: Behavioral economics (BE) is a relatively new field within economics that incorporates insights from psychology that can be harnessed to improve economic decision making with the potential to enhance good health and well-being of individuals and societies, the third of the United Nations Sustainable Development Goals. While some of the psychological principles of economic decision making were described as far back as the 1700s by Adam Smith, BE emerged as a discipline in the 1970s with the groundbreaking work of psychologists Daniel Kahneman and Amos Tversky. We describe the basic concepts of BE, heuristics (decision-making shortcuts) and their associated biases, and the BE strategies framing, incentives, and economic nudging to overcome these biases. We survey the literature to identify how BE techniques have been employed to improve individual choice (focusing on childhood obesity), health policy, and patient and healthcare provider decision making. Additionally, we discuss how these BE-based efforts to improve health-related decision Citation: Siegel, R.; Gordon, K.; Dynan, L.
    [Show full text]
  • Taxonomies of Cognitive Bias How They Built
    Three kinds of limitations Three kinds of limitations Three kinds of limitations: humans A Task-based Taxonomy of Cognitive Biases for Information • Human vision ️ has Visualization limitations Evanthia Dimara, Steven Franconeri, Catherine Plaisant, Anastasia • 易 Bezerianos, and Pierre Dragicevic Human reasoning has limitations The Computer The Display The Computer The Display The Human The Human 2 3 4 Ambiguity effect, Anchoring or focalism, Anthropocentric thinking, Anthropomorphism or personification, Attentional bias, Attribute substitution, Automation bias, Availability heuristic, Availability cascade, Backfire effect, Bandwagon effect, Base rate fallacy or Base rate neglect, Belief bias, Ben Franklin effect, Berkson's ️Perceptual bias ️Perceptual bias 易 Cognitive bias paradox, Bias blind spot, Choice-supportive bias, Clustering illusion, Compassion fade, Confirmation bias, Congruence bias, Conjunction fallacy, Conservatism (belief revision), Continued influence effect, Contrast effect, Courtesy bias, Curse of knowledge, Declinism, Decoy effect, Default effect, Denomination effect, Magnitude estimation Magnitude estimation Color perception Behaviors when humans Disposition effect, Distinction bias, Dread aversion, Dunning–Kruger effect, Duration neglect, Empathy gap, End-of-history illusion, Endowment effect, Exaggerated expectation, Experimenter's or expectation bias, consistently behave irrationally Focusing effect, Forer effect or Barnum effect, Form function attribution bias, Framing effect, Frequency illusion or Baader–Meinhof
    [Show full text]
  • Mental Bugs in Companies
    Author: Karl Nordenstorm Date: 6th October 2015 Mental Bugs in Companies Implications of Cognitive Biases for Management Models: Biases in Individuals as a Source of Corporate Irrationality More than 100 Mental Bugs make people predictably irrational, and cause systematic errors. A recent master thesis examines how these bugs can harm companies, and gives suggestions of how to fix the problems # Behavioral Economics # Cognitive Bias # Bias Mitigation # IKEA-effect Cognitive psychology and business Just like a computer-program can have a software bug, we humans seem to have mental bugs that cause us to be predictably irrational. More than a hundred such mental bugs have been discovered in the field Cognitive Psychology, and they cause us to systematically make specific mistakes. What happen when irrational, mental-bug-infested humans try to run sophisticated processes at their jobs? A recent master-thesis from Lund University1, dealt with exactly that question, and presented close to 100 ideas of how our systematic irrationality, might cause systematic failures at companies. In the richly diverse world of mental bugs, there are bugs that do everything from causing us to be overoptimistic planners, to fooling us that statements that just because a statement rhymes it is sensible. The mental bugs are so diverse that there is no easy way of summarizing all of the ideas of how they can hurt companies. Just a few examples of the ideas from the recent master thesis are that: The IKEA effect (which produces exaggerated beliefs in the quality of self-made things), might make employees incapable of making fair estimates of the quality of processes that they have developed.
    [Show full text]
  • Cognitive Biases: an Alphabetical List
    COGNITIVE BIASES: AN ALPHABETICAL LIST Adaptive bias With limited information, decisions are based around the costs of being wrong. Affect Heuristic A mental shortcut relying on emotion rather than logical thought Ambiguity Aversion Preferring known risks over unknown risks Anchor When individuals rely heavily on an initial piece of information, known as the "anchor", when making decisions. Association Bias see Illusory Superiority Attribution effect See Fundamental attribution error Authority Bias Tendency to give greater credence to the opinion of an authority figure, and be more influenced by them, regardless of their expertise. Availability heuristic People create a picture of the world using the examples that most easily come to mind – the vivid, emotional or unusual. Base-Rate fallacy The tendency to ignore ‘base’ or general information and focus on specific information. Black Swan Highly significant events that affect your life, your career, your company, your country. There are positive and negative Black Swans. Cognitive Biases: An alphabetical list Cherry-picking Selecting and showcasing the most attractive features and hiding the rest. Clustering illusion Overestimating the importance of small patterns in large samples of random data. Cognitive Dissonance Having inconsistent thoughts, beliefs, or attitudes and how the mind rationalises these inconsistencies Coincidence See Subjective Validation Confirmation Bias Interpreting information in a way that confirms one's preconceptions. Conjunction Fallacy Assumption that specific conditions are more probable than general ones. Contrast Effect How perceptions change in relation to contrasting objects. Correspondence bias See Fundamental attribution error Default Effect When given a choice between, people tend to favour the default option. Dunning–Kruger effect Unskilled individuals overestimate their abilities while experts underestimate theirs.
    [Show full text]